| Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions | Feb 28, 2025 | Variational Inference | CodeCode Available | 2 | 5 |
| normflows: A PyTorch Package for Normalizing Flows | Jan 26, 2023 | Image GenerationVariational Inference | CodeCode Available | 2 | 5 |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows | Jun 28, 2019 | Point Cloud GenerationVariational Inference | CodeCode Available | 2 | 5 |
| Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence | Apr 8, 2020 | Sentence EmbeddingsTopic Models | CodeCode Available | 2 | 5 |
| Batch and match: black-box variational inference with a score-based divergence | Feb 22, 2024 | Variational Inference | CodeCode Available | 2 | 5 |
| Gaussian Processes for Big Data | Sep 26, 2013 | Gaussian ProcessesVariational Inference | CodeCode Available | 2 | 5 |
| Cross-lingual Contextualized Topic Models with Zero-shot Learning | Apr 16, 2020 | Topic ModelsTransfer Learning | CodeCode Available | 2 | 5 |
| Denoising Diffusion Restoration Models | Jan 27, 2022 | ColorizationDeblurring | CodeCode Available | 2 | 5 |
| Neural Markov Random Field for Stereo Matching | Mar 17, 2024 | Domain GeneralizationInductive Bias | CodeCode Available | 2 | 5 |
| The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget | Apr 24, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 2 | 5 |
